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Facilitating Initial Cell Selection in Dense Heterogeneous Network Using Mobile Speed Classification

Published: 27 August 2014 Publication History

Abstract

Dense heterogeneous networks (HetNets) that comprise a number of small cells and their overlay macro cells is viewed as the solution for supporting explosive-growth user traffic in the next decade. In order to reduce the number of handovers in HetNets, the high speed mobiles should attach to the macro cells as much as possible. This paper proposes a Doppler-based Speed Classification (DSC) method for the mobiles to classify its speed into the high-speed or the low-speed classes. The classification results could be further used for the mobiles to select an appropriate cell for attaching. The DSC method is low complexity and requires no mobility-related records. Simulation results show that the DSC method is effective in broad range of scenarios.

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  1. Facilitating Initial Cell Selection in Dense Heterogeneous Network Using Mobile Speed Classification

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    cover image Guide Proceedings
    IIH-MSP '14: Proceedings of the 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
    August 2014
    986 pages
    ISBN:9781479953905

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    IEEE Computer Society

    United States

    Publication History

    Published: 27 August 2014

    Author Tags

    1. Doppler shift
    2. cell selection
    3. dense heterogeneous network
    4. small cell
    5. speed estimation

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